Evidence map›Paper›PMID 38379308›Full record

ArticleJournal of microbiology and biotechnology2024

Intracellular Flux Prediction of Recombinant

Sung Han Bae, Myung Sub Sim, Ki Jun Jeong, Dan He, Inchan Kwon, Tae Wan Kim, Hyun Uk Kim, Jong-Il Choi

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Sung Han BaeDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Myung Sub SimDepartment of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
Ki Jun JeongDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Dan HeCollege of Life Science and Agriculture Forestry, Qiqihar University, Qiqihar, 161006, Heilongjiang, China.
Inchan KwonSchool of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Tae Wan KimDepartment of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
Hyun Uk KimDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Jong-Il ChoiDepartment of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
Chonnam National University · KRKorea Advanced Institute of Science and Technology · KRGwangju Institute of Science and Technology · KRQiqihar University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-scale metabolic model (GEM) can be used to simulate cellular metabolic phenotypes under various environmental or genetic conditions. This study utilized the GEM to observe the internal metabolic fluxes of recombinant

Indexed as

Escherichia coligamma-Aminobutyric AcidBioreactorsFermentationGlutamate DehydrogenaseGlycolysisHydrogen-Ion ConcentrationMetabolic EngineeringMetabolic Flux AnalysisModels, BiologicalPentose Phosphate PathwaySuccinic Acidgamma-Aminobutyric AcidGlutamate DehydrogenaseSuccinic AcidEscherichia colifermentationgamma-aminobutyric acidGenome-scale metabolic model

Identifiers

PMID38379308
PMCPMC11091657
OpenAlexW4392013422

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.